Merge pull request #338 from queukat/v3

fixed names and llm problems

data_folder/config.yaml

@@ -1,6 +1,6 @@
 remote: [true/false]
 
-experienceLevel:
+experience_level:
  internship: [true/false]
  entry: [true/false]
  associate: [true/false]
@@ -31,7 +31,7 @@ locations:
   - Country1
   - Country2
 
-applyOnceAtCompany: [true/false]
+apply_once_at_company: [true/false]
 
 distance: 100
 
@@ -39,7 +39,7 @@ company_blacklist:
   - Company1
   - Company2
 
-titleBlacklist:
+title_blacklist:
   - word1
   - word2
 

data_folder_example/config.yaml

@@ -1,6 +1,6 @@
 remote: true
 
-experienceLevel:
+experience_level:
   internship: true
   entry: true
   associate: true
@@ -29,15 +29,21 @@ positions:
 locations:
   - USA
 
-applyOnceAtCompany: [true/false]
+apply_once_at_company: [true/false]
 
 distance: 100
 
-companyBlacklist:
+company_blacklist:
   - Noir
   - Crossover
 
-titleBlacklist:
+title_blacklist:
+  - word1
+  - word2
+
+job_applicants_threshold:
+  min_applicants: 0
+  max_applicants: 100
 
 llm_model_type: openai
 llm_model: 'gpt-4o'

main.py

@@ -9,7 +9,7 @@ from selenium.webdriver.chrome.service import Service as ChromeService
 from webdriver_manager.chrome import ChromeDriverManager
 from selenium.common.exceptions import WebDriverException, TimeoutException
 from lib_resume_builder_AIHawk import Resume,StyleManager,FacadeManager,ResumeGenerator
-from src.utils import chromeBrowserOptions
+from src.utils import chrome_browser_options
 from src.gpt import GPTAnswerer
 from src.linkedIn_authenticator import LinkedInAuthenticator
 from src.linkedIn_bot_facade import LinkedInBotFacade
@@ -149,7 +149,7 @@ class FileManager:
 
 def init_browser() -> webdriver.Chrome:
     try:
-        options = chromeBrowserOptions()
+        options = chrome_browser_options()
         service = ChromeService(ChromeDriverManager().install())
         return webdriver.Chrome(service=service, options=options)
     except Exception as e:

requirements.txt

@@ -14,3 +14,11 @@ click
 git+https://github.com/feder-cr/lib_resume_builder_AIHawk.git
 linkedin-api
 pdfminer.six==20221105
+inputimeout==1.0.4
+langchain-ollama==0.1.3
+langchain-anthropic==0.1.3
+jsonschema==4.23.0
+jsonschema-specifications==2023.12.1
+httpx~=0.27.2
+python-dotenv~=1.0.1
+PyYAML~=6.0.2

src/gpt.py

@@ -79,7 +79,7 @@ class AIAdapter:
         elif llm_model_type == "ollama":
             return OllamaModel(api_key, llm_model, llm_api_url)
         else:
-            raise ValueError(f"Unsupported model type: {model_type}")
+            raise ValueError(f"Unsupported model type: {llm_model_type}")
 
     def invoke(self, prompt: str) -> str:
         return self.model.invoke(prompt)
@@ -204,7 +204,7 @@ class LoggerChatModel:
         while True:
             try:
                 logger.debug("Attempting to call the LLM with messages")
-                reply = self.llm(messages)
+                reply = self.llm.invoke(messages)
                 logger.debug("LLM response received: %s", reply)
 
                 parsed_reply = self.parse_llmresult(reply)

src/linkedIn_job_manager.py

@@ -47,10 +47,10 @@ class LinkedInJobManager:
     def set_parameters(self, parameters):
         logger.debug("Setting parameters for LinkedInJobManager")
         self.company_blacklist = parameters.get('company_blacklist', []) or []
-        self.title_blacklist = parameters.get('titleBlacklist', []) or []
+        self.title_blacklist = parameters.get('title_blacklist', []) or []
         self.positions = parameters.get('positions', [])
         self.locations = parameters.get('locations', [])
-        self.apply_once_at_company = parameters.get('applyOnceAtCompany', False)
+        self.apply_once_at_company = parameters.get('apply_once_at_company', False)
         self.base_search_url = self.get_base_search_url(parameters)
         self.seen_jobs = []
 
@@ -120,8 +120,8 @@ class LinkedInJobManager:
                     if time_left > 0:
                         try:
                             user_input = inputimeout(
-                                prompt=f"Sleeping for {time_left} seconds. Press 'y' to skip waiting. Timeout 10 seconds : ",
+                                prompt=f"Sleeping for {time_left} seconds. Press 'y' to skip waiting. Timeout 60 seconds : ",
-                                timeout=10).strip().lower()
+                                timeout=60).strip().lower()
                         except TimeoutOccurred:
                             user_input = ''  # No input after timeout
                         if user_input == 'y':
@@ -138,8 +138,8 @@ class LinkedInJobManager:
                         sleep_time = random.randint(5, 34)
                         try:
                             user_input = inputimeout(
-                                prompt=f"Sleeping for {sleep_time / 60} minutes. Press 'y' to skip waiting. Timeout 10 seconds : ",
+                                prompt=f"Sleeping for {sleep_time / 60} minutes. Press 'y' to skip waiting. Timeout 60 seconds : ",
-                                timeout=10).strip().lower()
+                                timeout=60).strip().lower()
                         except TimeoutOccurred:
                             user_input = ''  # No input after timeout
                         if user_input == 'y':
@@ -160,8 +160,8 @@ class LinkedInJobManager:
             if time_left > 0:
                 try:
                     user_input = inputimeout(
-                        prompt=f"Sleeping for {time_left} seconds. Press 'y' to skip waiting. Timeout 10 seconds : ",
+                        prompt=f"Sleeping for {time_left} seconds. Press 'y' to skip waiting. Timeout 60 seconds : ",
-                        timeout=10).strip().lower()
+                        timeout=60).strip().lower()
                 except TimeoutOccurred:
                     user_input = ''  # No input after timeout
                 if user_input == 'y':
@@ -179,7 +179,7 @@ class LinkedInJobManager:
                 try:
                     user_input = inputimeout(
                         prompt=f"Sleeping for {sleep_time / 60} minutes. Press 'y' to skip waiting: ",
-                        timeout=10).strip().lower()
+                        timeout=60).strip().lower()
                 except TimeoutOccurred:
                     user_input = ''  # No input after timeout
                 if user_input == 'y':
@@ -370,7 +370,7 @@ class LinkedInJobManager:
         url_parts = []
         if parameters['remote']:
             url_parts.append("f_CF=f_WRA")
-        experience_levels = [str(i + 1) for i, (level, v) in enumerate(parameters.get('experienceLevel', {}).items()) if
+        experience_levels = [str(i + 1) for i, (level, v) in enumerate(parameters.get('experience_level', {}).items()) if
                              v]
         if experience_levels:
             url_parts.append(f"f_E={','.join(experience_levels)}")
@@ -429,7 +429,6 @@ class LinkedInJobManager:
         link_seen = link in self.seen_jobs
         is_blacklisted = title_blacklisted or company_blacklisted or link_seen
         logger.debug("Job blacklisted status: %s", is_blacklisted)
-        return is_blacklisted
 
         return title_blacklisted or company_blacklisted or link_seen
 

src/utils.py

@@ -8,7 +8,7 @@ from selenium import webdriver
 log_file = "app_log.log"
 
 logging.basicConfig(
-    level=logging.DEBUG,
+    level=logging.INFO,
     format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
     handlers=[
         logging.FileHandler(log_file, mode='a', encoding='utf-8'),
@@ -22,7 +22,7 @@ file_handler = logging.FileHandler(log_file, mode='a', encoding='utf-8')
 formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
 file_handler.setFormatter(formatter)
 logger.addHandler(file_handler)
-logger.setLevel(logging.DEBUG)
+logger.setLevel(logging.INFO)
 
 chromeProfilePath = os.path.join(os.getcwd(), "chrome_profile", "linkedin_profile")